Skip to main content
Glama

List Product Sets

meta_list_product_sets
Read-onlyIdempotent

List product sets in a catalog by providing the catalog ID. Returns set IDs, names, filters, and product counts.

Instructions

Lists product sets (subgroups) in a catalog.

Args:

  • catalog_id (string): The catalog ID

  • limit (number): Max results (1–100, default 25)

Returns product set IDs, names, filters, and product counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalog_idYesProduct catalog ID
limitNoMax results (default 25)
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate read-only, non-destructive, idempotent behavior. The description adds return value details (IDs, names, filters, counts) but does not disclose any additional behavioral traits like pagination or rate limits. Adequate but not enriched.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, front-loading the purpose. However, it omits one parameter (response_format), so it is incomplete rather than appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the low complexity and no output schema, the description covers basic return values. But the missing parameter (response_format) and lack of pagination details make it less complete. Adequate for a simple list tool but with a clear gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema documents all three parameters (catalog_id, limit, response_format). However, the description omits the response_format parameter entirely, which is important for output handling. This gap reduces usefulness beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Lists product sets (subgroups) in a catalog.' This clearly identifies the tool's action (list) and resource (product sets), distinguishing it from related siblings like meta_list_products or meta_list_product_catalogs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when or when not to use this tool versus alternatives. However, the purpose is clear from the name, so an agent could infer usage. Minimum viable.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/oliverames/meta-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server